Designation :Senior Analyst - Data Engineering

Experience :3 to 5 years

Location : Chennai

Responsibilities :

- Design, develop, and maintain highly scalable ETL/ELT pipelines using Python, SQL, and PySpark to process large volumes of structured, semi-structured, and unstructured data.

- Architect and implement robust data warehouse or lakehouse solutions leveraging Databricks or Snowflake, adhering to best-practice data layering techniques (e.g., Medallion Architecture: Bronze, Silver, Gold).

- Deploy and optimize data workloads on enterprise cloud infrastructure (AWS or Azure), ensuring high performance, security, and cost-efficiency.

- Design conceptual and logical data models, including complex Fact and Dimension tables, to support both downstream business intelligence reporting and advanced analytics.

- Collaborate with business stakeholders, data scientists, and analysts to map operational workflows, identify data pain points,



and define requirements for new data products.

- Develop and automate data ingestion frameworks utilizing CI/CD pipelines to ensure seamless, version-controlled data flows across development, staging, and production environments.

- Implement comprehensive data governance and observability within the data platform, including Role-Based Access Control (RBAC), data masking, and automated data quality monitoring. - Skills :

- Very valuable experience in Python

- Proficient in SQL concepts

- Expertise in Databricks

- Experience with AWS / Azure concepts

Job Snapshot

- Updated Date
- 28-05-2026
- Job ID
- J_5223
- Location

Chennai, Tamil Nadu, India

- Experience
- 3 - 5 Years
- Employee Type
- Permanent

📌 Senior Analyst - Data Engineering (Chennai)
🏢 LATENTVIEW ANALYTICS
📍 Chennai